Irene Leo
- Cognitive Neuroscience top 5%
- Experimental and Cognitive Psychology top 5%
- Developmental and Educational Psychology top 5%
- Social Psychology top 5%
- Computer Vision and Pattern Recognition top 10%
- Co-authors
- Francesca SimionChiara TuratiEloisa ValenzaViola Macchi CassiaElisa Di GiorgioDavid J. LewkowiczDaniela LucangeliLara Bardi
- Topics
- Face Recognition and Perception (14 papers)Evolutionary Psychology and Human Behavior (7 papers)Face recognition and analysis (5 papers)
- Cited by
- Cognitive NeuroscienceDevelopmental and Educational PsychologyExperimental and Cognitive Psychology
- Partner nations
- ItalyUnited StatesAustralia
In The Last Decade
Irene Leo
35 papers receiving 845 citations
Peers
Comparison fields: 5 of 92
- Cognitive Neuroscience 557
- Experimental and Cognitive Psychology 309
- Developmental and Educational Psychology 299
- Social Psychology 193
- Computer Vision and Pattern Recognition 142
Countries citing papers authored by Irene Leo
This map shows the geographic impact of Irene Leo's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Irene Leo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Irene Leo more than expected).
Fields of papers citing papers by Irene Leo
This network shows the impact of papers produced by Irene Leo. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Irene Leo. The network helps show where Irene Leo may publish in the future.
Co-authorship network of co-authors of Irene Leo
This figure shows the co-authorship network connecting the top 25 collaborators of Irene Leo. A scholar is included among the top collaborators of Irene Leo based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Irene Leo. Irene Leo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 3 | |
| 3 | 0 | |
| 4 | 13 | |
| 5 | 6 | |
| 6 | 8 | |
| 7 | 14 | |
| 8 | 2 | |
| 9 | 9 | |
| 10 | 53 | |
| 11 | 61 | |
| 12 | 14 | |
| 13 | 85 | |
| 14 | 21 | |
| 15 | 28 | |
| 16 | 40 | |
| 17 | 66 | |
| 18 | 1 | |
| 19 | 58 | |
| 20 | 5 |
About Irene Leo
Irene Leo is a scholar working on Cognitive Neuroscience, Developmental and Educational Psychology and Experimental and Cognitive Psychology, having authored 38 papers that have together received 869 indexed citations. Recurring topics across this work include Face Recognition and Perception (14 papers), Evolutionary Psychology and Human Behavior (7 papers) and Face recognition and analysis (5 papers). The work is most often cited by research in Cognitive Neuroscience (557 citations), Developmental and Educational Psychology (299 citations) and Experimental and Cognitive Psychology (309 citations). Irene Leo has collaborated with scholars based in Italy, United States and Australia. Frequent co-authors include Francesca Simion, Chiara Turati, Eloisa Valenza, Viola Macchi Cassia, Elisa Di Giorgio, David J. Lewkowicz, Daniela Lucangeli, Lara Bardi, Claudio Zandonella Callegher and Gianmarco Altoè. Their work appears in journals such as PLoS ONE, Child Development and Scientific Reports.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.